Shikai Fang
Tenure-Track Assistant Professor at 浙江大学
Hangzhou City, Zhejiang, China
Summary
👤
Senior🎓
Top SchoolShikai Fang is a tenure-track assistant professor and machine learning researcher with 11 years of experience building intelligence grounded in physical-world signals. After a PhD in computer science from the University of Utah, he worked on LLMs, agents, and generative models at Microsoft Research and has research internships spanning Alibaba DAMO, Morgan Stanley, and neuroscience applications at Fudan. His work blends principled Bayesian and physics-inspired modeling with modern deep generative methods, applied to time-series, climate, finance, and neuroimaging. Based in Hangzhou, he brings both industrial R&D and academic rigor to translating foundational ML ideas into real-world systems. He maintains an active technical presence (webpage: xuangu-fang.github.io) and describes himself simply as 程序员, reflecting a hands-on coder mentality beneath his research portfolio.
11 years of coding experience
6 years of employment as a software developer
Master's degree Computer science, Master's degree Computer science at Temple UniversityBachelor's degree Computer science & Statistics, Bachelor's degree Computer science & Statistics at University of Science and Technology of ChinaThe University of Utah
Chinese, Chinese, 德语（入门级）
Github Skills (174)
udp9
forward-error-correction9
gm9
pyvmomi9
vnc-client9
encryption9
decryption9
ssl9
integrity9
jpa8
code-generator8
crypto8
django8
multiplexing8
pgsql8
Programming languages (10)
Github contributions (5)
ruiruige/china-direct
Dec 2016 - Feb 2018
Contributions:47 commits, 46 pushes, 1 branch in 1 year 2 months
ruiruige/proxy-world
Feb 2017 - Nov 2019
Contributions:57 pushes, 3 branches, 3 comments in 2 years 9 months
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